Engineer the Cloud: Become an Azure Data Engineering Expert

Master data engineering using Azure with hands-on training in PySpark, Databricks, ADF, and cloud integration. Build scalable pipelines and real-time solutions across a 5-week industry-ready curriculum.

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Engineer the Cloud: Become an Azure Data Engineering Expert

Course Content

Week 1: Python for Data Engineering

Day 1: Introduction to Python

Day 2: Control Structures and Functions

Day 3: Working with Data Structures

Day 4: Introduction to Git for Data Engineers

Day 5: Data Analysis with Pandas

Week 2: SQL for Data Engineering

Day 7: Introduction to SQL and Basic Queries

Day 8: Aggregation and Grouping Data

Day 9: Joins, Subqueries, and Views

Day 10: Advanced SQL Concepts

Week 3: PySpark and Databricks

Day 11: Introduction to Databricks

Day 12: Introduction to PySpark

Day 13: PySpark DataFrame Operations

Day 14: PySpark Functions and Transformations

Day 15: Data Loading and Writing in PySpark

Day 16: Optimizing PySpark Jobs

Week 4: Data Pipelines and Advanced Topics

Day 17: Performance Tuning in PySpark

Day 18: Distributed Data Processing with PySpark

Day 19: Introduction to Data Pipelines

Day 20: Building Data Pipelines with PySpark

Day 21: Cloud Integration with Azure for Data Engineering

Day 22: Deploying Data Pipelines in Azure

Day 23: Hands-on Project: Data Pipeline with PySpark & Databricks

Day 24: Data Engineering Best Practices

Week 5: Azure Data Factory (ADF)

Day 25: Introduction to ADF & Setup

Day 26: Advanced Pipeline Creation & Data Movement

Day 27: Data Transformation with Data Flows

Day 28: Integration with Azure Services & Best Practices